text stringlengths 5 1.13k |
|---|
* Prec: 91.88000144958497 |
-------- |
SENet18 |
Using Adam for retraining |
Files already downloaded and verified |
2020-02-04 23:20:00, Epoch 0, Iteration 7, loss 0.866 (0.959), acc 94.231 (89.000) |
2020-02-04 23:20:00, Epoch 30, Iteration 7, loss 0.179 (0.300), acc 98.077 (94.200) |
Target Label: 6, Poison label: 8, Prediction:6, Target's Score:[-5.2702465, -5.8756356, -9.19399, -2.3635335, 7.111252, -10.972184, 16.19091, -8.594378, 12.595152, -18.232725], Poisons' Predictions:[8, 6, 6, 6, 6] |
2020-02-04 23:20:04 Epoch 59, Val iteration 0, acc 92.200 (92.200) |
2020-02-04 23:20:12 Epoch 59, Val iteration 19, acc 93.400 (91.820) |
* Prec: 91.82000198364258 |
-------- |
ResNet50 |
Using Adam for retraining |
Files already downloaded and verified |
2020-02-04 23:20:19, Epoch 0, Iteration 7, loss 1.862 (1.615), acc 96.154 (85.400) |
2020-02-04 23:20:19, Epoch 30, Iteration 7, loss 0.000 (0.010), acc 100.000 (99.600) |
Target Label: 6, Poison label: 8, Prediction:8, Target's Score:[-34.214867, -37.50956, -31.536251, -50.04083, -55.39538, -49.667366, -11.594271, -41.14924, 3.108827, -36.485455], Poisons' Predictions:[8, 8, 6, 8, 8] |
2020-02-04 23:20:27 Epoch 59, Val iteration 0, acc 93.800 (93.800) |
2020-02-04 23:20:47 Epoch 59, Val iteration 19, acc 93.600 (93.680) |
* Prec: 93.68000106811523 |
-------- |
ResNeXt29_2x64d |
Using Adam for retraining |
Files already downloaded and verified |
2020-02-04 23:20:54, Epoch 0, Iteration 7, loss 0.887 (2.245), acc 90.385 (75.000) |
2020-02-04 23:20:54, Epoch 30, Iteration 7, loss 0.067 (0.035), acc 98.077 (98.800) |
Target Label: 6, Poison label: 8, Prediction:8, Target's Score:[-46.81392, 14.137497, -23.428167, 4.2836, -108.45677, -45.609344, 20.57605, -22.539093, 24.878674, -37.85475], Poisons' Predictions:[8, 8, 8, 6, 8] |
2020-02-04 23:21:02 Epoch 59, Val iteration 0, acc 91.800 (91.800) |
2020-02-04 23:21:23 Epoch 59, Val iteration 19, acc 92.600 (92.560) |
* Prec: 92.56000099182128 |
-------- |
GoogLeNet |
Using Adam for retraining |
Files already downloaded and verified |
2020-02-04 23:21:34, Epoch 0, Iteration 7, loss 0.240 (0.498), acc 92.308 (88.400) |
2020-02-04 23:21:34, Epoch 30, Iteration 7, loss 0.124 (0.084), acc 98.077 (96.400) |
Target Label: 6, Poison label: 8, Prediction:6, Target's Score:[-21.833752, -9.940461, -7.057154, -2.0853763, -15.092851, -4.412653, 10.995181, -3.538465, 6.794463, -17.227148], Poisons' Predictions:[8, 8, 8, 6, 6] |
2020-02-04 23:21:50 Epoch 59, Val iteration 0, acc 91.200 (91.200) |
2020-02-04 23:22:22 Epoch 59, Val iteration 19, acc 92.200 (92.340) |
* Prec: 92.34000205993652 |
-------- |
MobileNetV2 |
Using Adam for retraining |
Files already downloaded and verified |
2020-02-04 23:22:27, Epoch 0, Iteration 7, loss 1.106 (3.231), acc 90.385 (67.600) |
2020-02-04 23:22:27, Epoch 30, Iteration 7, loss 0.090 (0.295), acc 98.077 (93.000) |
Target Label: 6, Poison label: 8, Prediction:6, Target's Score:[-7.0145884, -7.664071, -10.99266, 0.46801814, -23.469973, -12.905223, 12.891135, -22.66257, 12.680627, -40.627926], Poisons' Predictions:[8, 8, 8, 6, 8] |
2020-02-04 23:22:30 Epoch 59, Val iteration 0, acc 88.000 (88.000) |
2020-02-04 23:22:38 Epoch 59, Val iteration 19, acc 87.400 (86.820) |
* Prec: 86.8200008392334 |
-------- |
ResNet18 |
Using Adam for retraining |
Files already downloaded and verified |
2020-02-04 23:22:41, Epoch 0, Iteration 7, loss 0.579 (0.769), acc 92.308 (84.000) |
2020-02-04 23:22:42, Epoch 30, Iteration 7, loss 0.041 (0.075), acc 98.077 (98.200) |
Target Label: 6, Poison label: 8, Prediction:8, Target's Score:[-41.59035, -13.152965, -11.741622, 2.063785, -42.632523, -8.13085, 7.7489247, -12.642086, 8.573408, -37.686653], Poisons' Predictions:[8, 8, 8, 6, 8] |
2020-02-04 23:22:42 Epoch 59, Val iteration 0, acc 92.600 (92.600) |
2020-02-04 23:22:49 Epoch 59, Val iteration 19, acc 93.400 (92.540) |
* Prec: 92.54000129699708 |
-------- |
DenseNet121 |
Using Adam for retraining |
Files already downloaded and verified |
2020-02-04 23:22:57, Epoch 0, Iteration 7, loss 0.325 (0.365), acc 94.231 (92.800) |
2020-02-04 23:22:58, Epoch 30, Iteration 7, loss 0.012 (0.009), acc 100.000 (99.800) |
Target Label: 6, Poison label: 8, Prediction:6, Target's Score:[-6.7022924, -9.4941025, -14.1998415, -5.1754575, -3.772724, -8.00171, 6.7359166, -27.540802, 3.4082556, -16.149935], Poisons' Predictions:[8, 8, 8, 8, 8] |
2020-02-04 23:23:09 Epoch 59, Val iteration 0, acc 93.600 (93.600) |
2020-02-04 23:23:33 Epoch 59, Val iteration 19, acc 93.000 (92.870) |
* Prec: 92.87000122070313 |
-------- |
------SUMMARY------ |
TIME ELAPSED (mins): 112 |
TARGET INDEX: 46 |
DPN92 1 |
SENet18 0 |
ResNet50 1 |
ResNeXt29_2x64d 1 |
GoogLeNet 0 |
MobileNetV2 0 |
ResNet18 1 |
DenseNet121 0 |
Namespace(chk_path='chk-black-ourmean/', chk_subdir='poisons', device='cuda', dset_path='datasets', end2end=False, eval_poison_path='', gpu='15', lr_decay_epoch=[30, 45], mode='mean', model_resume_path='model-chks', nearest=False, net_repeat=1, num_per_class=50, original_grad=True, poison_decay_ites=[], poison_decay_ratio=0.1, poison_epsilon=0.1, poison_ites=4000, poison_label=8, poison_lr=0.04, poison_momentum=0.9, poison_num=5, poison_opt='adam', resume_poison_ite=0, retrain_bsize=64, retrain_epochs=60, retrain_lr=0.1, retrain_momentum=0.9, retrain_opt='adam', retrain_wd=0, subs_chk_name=['ckpt-%s-4800-dp0.200-droplayer0.000-seed1226.t7', 'ckpt-%s-4800-dp0.250-droplayer0.000-seed1226.t7', 'ckpt-%s-4800-dp0.300-droplayer0.000.t7'], subs_dp=[0.2, 0.25, 0.3], subset_group=0, substitute_nets=['DPN92', 'SENet18', 'ResNet50', 'ResNeXt29_2x64d', 'GoogLeNet', 'MobileNetV2'], target_index=47, target_label=6, target_net=['DPN92', 'SENet18', 'ResNet50', 'ResNeXt29_2x64d', 'GoogLeNet', 'MobileNetV2', 'ResNet18', 'DenseNet121'], test_chk_name='ckpt-%s-4800.t7', tol=1e-06, train_data_path='datasets/CIFAR10_TRAIN_Split.pth') |
Path: chk-black-ourmean/mean/4000/47 |
Selected base image indices: [213, 225, 227, 247, 249] |
2020-02-04 21:21:21 Iteration 0 Training Loss: 1.073e+00 Loss in Target Net: 3.379e-01 |
2020-02-04 21:22:38 Iteration 50 Training Loss: 9.204e-02 Loss in Target Net: 1.632e-02 |
2020-02-04 21:23:54 Iteration 100 Training Loss: 8.199e-02 Loss in Target Net: 1.139e-02 |
2020-02-04 21:25:11 Iteration 150 Training Loss: 7.151e-02 Loss in Target Net: 1.629e-02 |
2020-02-04 21:26:27 Iteration 200 Training Loss: 7.214e-02 Loss in Target Net: 1.245e-02 |
2020-02-04 21:27:44 Iteration 250 Training Loss: 7.013e-02 Loss in Target Net: 1.279e-02 |
2020-02-04 21:29:01 Iteration 300 Training Loss: 6.684e-02 Loss in Target Net: 1.390e-02 |
2020-02-04 21:30:18 Iteration 350 Training Loss: 6.766e-02 Loss in Target Net: 1.519e-02 |
2020-02-04 21:31:35 Iteration 400 Training Loss: 6.998e-02 Loss in Target Net: 1.105e-02 |
2020-02-04 21:32:52 Iteration 450 Training Loss: 6.458e-02 Loss in Target Net: 8.041e-03 |
2020-02-04 21:34:09 Iteration 500 Training Loss: 6.510e-02 Loss in Target Net: 1.004e-02 |
2020-02-04 21:35:28 Iteration 550 Training Loss: 6.697e-02 Loss in Target Net: 1.029e-02 |
2020-02-04 21:36:45 Iteration 600 Training Loss: 6.689e-02 Loss in Target Net: 7.934e-03 |
2020-02-04 21:38:02 Iteration 650 Training Loss: 6.937e-02 Loss in Target Net: 9.530e-03 |
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